open-llm-leaderboard-old/details_LordNoah__Alpaca_spin_gpt2_e1_se0

该数据集是在模型 LordNoah/Alpaca_spin_gpt2_e1_se0 在 Open LLM Leaderboard 上的评估运行期间自动创建的。数据集由 63 个配置组成，每个配置对应一个被评估的任务。它包含来自 1 次运行的数据，每次运行在每个配置中表示为特定的分割。train 分割始终指向最新的结果。一个名为 results 的额外配置存储了所有运行的聚合结果，这些结果用于计算和显示 Open LLM Leaderboard 上的聚合指标。README 还提供了一个示例，展示了如何使用 Python 中的 datasets 库加载运行中的详细信息。

原始信息汇总

数据集概述

数据集摘要

该数据集是在评估模型 LordNoah/Alpaca_spin_gpt2_e1_se0 在 Open LLM Leaderboard 上的自动创建的。数据集包含 63 个配置，每个配置对应一个评估任务。

数据集结构

• 配置数量：63 个配置
• 数据来源：1 次运行结果
• 数据分割：每个配置包含特定运行的分割，分割名称使用运行的时间戳。"train" 分割指向最新结果。
• 额外配置："results" 配置存储所有运行的聚合结果，用于计算和显示在 Open LLM Leaderboard 上的聚合指标。

数据加载示例

python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_LordNoah__Alpaca_spin_gpt2_e1_se0", "harness_winogrande_5", split="train")

最新结果

以下是 2024-01-23T02:15:43.434636 运行的最新结果：

python { "all": { "acc": 0.2686575062749826, "acc_stderr": 0.03128827530334957, "acc_norm": 0.27023396613942313, "acc_norm_stderr": 0.03212003408578007, "mc1": 0.2178702570379437, "mc1_stderr": 0.014450846714123892, "mc2": 0.3905583201208923, "mc2_stderr": 0.014224369312263067 }, "harness|arc:challenge|25": { "acc": 0.26023890784982934, "acc_stderr": 0.01282193022511256, "acc_norm": 0.27986348122866894, "acc_norm_stderr": 0.013119040897725922 }, "harness|hellaswag|10": { "acc": 0.36566421031667, "acc_stderr": 0.0048063163427093936, "acc_norm": 0.45737900816570404, "acc_norm_stderr": 0.004971619995879763 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.26, "acc_stderr": 0.04408440022768081, "acc_norm": 0.26, "acc_norm_stderr": 0.04408440022768081 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.3037037037037037, "acc_stderr": 0.039725528847851375, "acc_norm": 0.3037037037037037, "acc_norm_stderr": 0.039725528847851375 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.3223684210526316, "acc_stderr": 0.038035102483515854, "acc_norm": 0.3223684210526316, "acc_norm_stderr": 0.038035102483515854 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.22, "acc_stderr": 0.041633319989322674, "acc_norm": 0.22, "acc_norm_stderr": 0.041633319989322674 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.3320754716981132, "acc_stderr": 0.02898545565233439, "acc_norm": 0.3320754716981132, "acc_norm_stderr": 0.02898545565233439 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.2569444444444444, "acc_stderr": 0.03653946969442099, "acc_norm": 0.2569444444444444, "acc_norm_stderr": 0.03653946969442099 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.17, "acc_stderr": 0.03775251680686371, "acc_norm": 0.17, "acc_norm_stderr": 0.03775251680686371 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.29, "acc_stderr": 0.04560480215720684, "acc_norm": 0.29, "acc_norm_stderr": 0.04560480215720684 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.2543352601156069, "acc_stderr": 0.0332055644308557, "acc_norm": 0.2543352601156069, "acc_norm_stderr": 0.0332055644308557 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.2549019607843137, "acc_stderr": 0.04336432707993177, "acc_norm": 0.2549019607843137, "acc_norm_stderr": 0.04336432707993177 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.29, "acc_stderr": 0.045604802157206845, "acc_norm": 0.29, "acc_norm_stderr": 0.045604802157206845 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.3148936170212766, "acc_stderr": 0.030363582197238167, "acc_norm": 0.3148936170212766, "acc_norm_stderr": 0.030363582197238167 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.22807017543859648, "acc_stderr": 0.03947152782669415, "acc_norm": 0.22807017543859648, "acc_norm_stderr": 0.03947152782669415 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.296551724137931, "acc_stderr": 0.038061426873099935, "acc_norm": 0.296551724137931, "acc_norm_stderr": 0.038061426873099935 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.2724867724867725, "acc_stderr": 0.02293097307163335, "acc_norm": 0.2724867724867725, "acc_norm_stderr": 0.02293097307163335 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.1746031746031746, "acc_stderr": 0.03395490020856113, "acc_norm": 0.1746031746031746, "acc_norm_stderr": 0.03395490020856113 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.34, "acc_stderr": 0.04760952285695236, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695236 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.25161290322580643, "acc_stderr": 0.024685979286239956, "acc_norm": 0.25161290322580643, "acc_norm_stderr": 0.024685979286239956 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.33497536945812806, "acc_stderr": 0.033208527423483104, "acc_norm": 0.33497536945812806, "acc_norm_stderr": 0.033208527423483104 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.2787878787878788, "acc_stderr": 0.03501438706296781, "acc_norm": 0.2787878787878788, "acc_norm_stderr": 0.03501438706296781 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.3484848484848485, "acc_stderr": 0.03394853965156402, "acc_norm": 0.3484848484848485, "acc_norm_stderr": 0.03394853965156402 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.2538860103626943, "acc_stderr": 0.03141024780565319, "acc_norm": 0.2538860103626943, "acc_norm_stderr": 0.03141024780565319 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.36153846153846153, "acc_stderr": 0.024359581465396987, "acc_norm": 0.36153846153846153, "acc_norm_stderr": 0.024359581465396987 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.27037037037037037, "acc_stderr": 0.02708037281514566, "acc